Dagster vs. QuerySurge Comparison


Dagster Dagster Labs	QuerySurge RTTS	+	+
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About Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.	About QuerySurge is the enterprise-grade data quality platform that continuously automates the validation of data across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, a scalable architecture, and seamless CI/CD integration, QuerySurge consistently ensures data integrity at every stage of the pipeline: accelerating delivery, reducing risk, and enabling confident decision-making. Use Cases - Data Warehouse & ETL Testing - Big Data Testing - DevOps for Data / DataOps / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Data Validation: enterprise-grade platform - AI: Automatically create data validation tests - BI Report Testing: Fully automated, no-code approach - DevOps for Data (DataOps): API w/60+ calls & Swagger docs, integrate continuous testing into your CI/CD pipelines - Data Connectors: For 200+ platforms
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Companies looking for a next-gen data orchestration platform	Audience Testers, Data Architects, ETL Developers, BI Analysts, & Operations teams
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $0 Pricing starts at $0.04/min for Serverless and $0.03/min for Hybrid, and tapers down from there based on usage. Free Version Free Trial	Pricing No information available. Pricing can be found at QuerySurge's website. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.9 / 5 features 4.9 / 5 design 4.5 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros Quick Ramp up time. Quick Support. Documentation. Certifications that can be earned for the product. QuerySurge offers in depth analysis of your data sets and provides meaningful feedback on discrepancies it finds and can be automated to correct said entries. The AI wizard is very helpful in creating test cases. There is so much this software can do and even with all its features it's still relatively simple to use. No SQL is necessary with the QuerySurge Wizard which is very helpful for any user to be able to use this software. QuerySurge is a great product. As a ETL Tester the tool allowed me to seamlessly connect to my source and target databases. Supports a ton of technology from Oracle DBs to flat files. Highly recommended for any data related testing. QuerySurge is a tool that was very easy to navigate and ensures the validation of big data as well as all types of data. The QuerySurge Wizard option allows you to validate your data without any knowledge of SQL which is amazing! This tool also allows you to have various connections to retrieve data from, giving a plethora of options! Cons I have not had any significant problems that support could not explain very easily. Can feel a bit daunting at times with how many features are available but they provide fantastic customer support and certification courses to assist the user. There are so many different features which at first can be overwhelming for the lay person but thankfully after a short while the features become intuitive and an invaluable resource for obtaining meaningful data from such large sets. UI seems a bit old fashioned. Some times navigation seems a little confusing. Don't worry though support team helps out with any issues you have! QuerySurge has too many features! This is definitely a good thing once you get used to it, but at first it can be a little tricky! Once you get all the features down, QuerySurge becomes the most powerful tool to use!
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Dagster Labs Founded: 2019 United States dagster.io	Company Information RTTS Founded: 1996 United States www.querysurge.com
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Categories Data Fabric Data Management Data Pipeline ETL Machine Learning ML Model Deployment	Categories Automated Testing Big Data Continuous Testing Data Analysis Data Governance Data Migration Data Pipeline Data Quality Data Validation Data Warehouse Database ETL Functional Testing NoSQL Database Test Management
ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control Show More Features Data Fabric Features Data Access Management Data Analytics Data Collaboration Data Lineage Tools Data Networking / Connecting Metadata Functionality No Data Redundancy Persistent Data Management Data Management Features Customer Data Data Analysis Data Capture Data Integration Data Migration Data Quality Control Data Security Information Governance Master Data Management Match & Merge Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization	ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control Show More Features Automated Testing Features Hierarchical View Move & Copy Parameterized Testing Requirements-Based Testing Security Testing Supports Parallel Execution Test Script Reviews Unicode Compliance Big Data Features Collaboration Data Blends Data Cleansing Data Mining Data Visualization Data Warehousing High Volume Processing No-Code Sandbox Predictive Analytics Templates Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics Data Quality Features Address Validation Data Deduplication Data Discovery Data Profililng Master Data Management Match & Merge Metadata Management Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge Functional Testing Features Automated Testing Interface Testing Regression Testing Reporting / Analytics Sanity Testing Smoke Testing System Testing Unit Testing Test Management Features Automation Integration Collaboration Tools Pass/Fail Results Tabulation Reporting / Analytics Requirements Management Test Scheduling Test Tracking Time/Budget Tracking
Integrations Azure Databricks Databricks MySQL Snowflake Airbyte Amazon DynamoDB Apache Spark Azure Database for PostgreSQL Azure SQL Database Cloudera Collate GitHub Google Cloud Platform IBM Db2 Microsoft Azure Oracle Database@AWS SQL Server on Azure Virtual Machines Slack Teradata Enterprise AgentStack pandas Show More Integrations View All 34 Integrations	Integrations Azure Databricks Databricks MySQL Snowflake Airbyte Amazon DynamoDB Apache Spark Azure Database for PostgreSQL Azure SQL Database Cloudera Collate GitHub Google Cloud Platform IBM Db2 Microsoft Azure Oracle Database@AWS SQL Server on Azure Virtual Machines Slack Teradata Enterprise AgentStack pandas Show More Integrations View All 35 Integrations
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